no code implementations • 28 May 2024 • Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio, Prayag Tiwari, Josef Bigun
The method is tested on three networks based on the small SqueezeNet (1. 24M parameters) and the popular MobileNetv2 (3. 5M) and ResNet50 (23. 5M) architectures.
no code implementations • 24 Apr 2024 • Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
Experiments also demonstrated that our inputs, which were provided by mini complex conv-nets, combined with reduced CNN sizes, outperformed full-fledged, prevailing CNN architectures.
no code implementations • 25 Jul 2023 • Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose M. Buades, Prayag Tiwari, Josef Bigun
This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting.
no code implementations • 20 Jul 2023 • Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Jose Maria Buades Rubio, Josef Bigun
The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication.
no code implementations • 11 Jul 2023 • Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
In this paper, we investigate the behavior of deep representations in widely used CNN models under extreme data scarcity for One-Shot periocular recognition, a biometric recognition task.
no code implementations • 9 Dec 2022 • Jonathan Karlsson, Fredrik Strand, Josef Bigun, Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Felix Nilsson
Workplace injuries are common in today's society due to a lack of adequately worn safety equipment.
no code implementations • 9 Dec 2022 • August Baaz, Yonan Yonan, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Felix Nilsson
In object classification, capturing a large number of images per object and in different conditions is not always possible and can be very time-consuming and tedious.
no code implementations • 9 Dec 2022 • Otto Zell, Joel Pålsson, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Felix Nilsson
Accordingly, this work looks into the potential of AI to detect and recognize fires and reduce detection time using object detection on an image stream.
1 code implementation • 11 Mar 2022 • Pontus Hedman, Vasilios Skepetzis, Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
To help in counteracting such issues, we contribute with a database of facial images that includes several manipulations.
no code implementations • 17 Oct 2021 • Pontus Hedman, Vasilios Skepetzis, Kevin Hernandez-Diaz, Josef Bigun, Fernando Alonso-Fernandez
Although there is room for improvement, when neither U-NET reconstruction nor training with filtered images is applied, the accuracy with filters that severely occlude the eye is <72% (identification) and >12% (EER)
no code implementations • 16 Jul 2021 • Elias Josse, Amanda Nerborg, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez
The world is expecting an aging population and shortage of healthcare professionals.
no code implementations • 26 Aug 2020 • Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
Recognition experiments are done using a number of off-the-shelf periocular comparators based both on hand-crafted features and CNN descriptors.
no code implementations • 31 Jul 2020 • Fernando Alonso-Fernandez, Nicole Mariah Sharon Belvisi, Kevin Hernandez-Diaz, Naveed Muhammad, Josef Bigun
With a large number of training Tweets (>500), a good accuracy (Rank-5>80%) is achievable with only a few dozens of test Tweets, even with several thousands of authors.
no code implementations • 16 Jul 2020 • Fernando Alonso-Fernandez, Javier Barrachina, Kevin Hernandez-Diaz, Josef Bigun
Accordingly, we address the challenge of developing a lightweight face recognition network of just a few megabytes that can operate with sufficient accuracy in comparison to much larger models.
no code implementations • 23 Apr 2020 • Nathalie Tkauc, Thao Tran, Kevin Hernandez-Diaz, Fernando Alonso-Fernandez
This paper describes the implementation of a system to recognize employees and visitors wanting to gain access to a physical office through face images and speech-to-text recognition.
no code implementations • 17 Sep 2018 • Kevin Hernandez-Diaz, Fernando Alonso-Fernandez, Josef Bigun
Periocular refers to the region around the eye, including sclera, eyelids, lashes, brows and skin.